2023
The challenges and prospects of brain-based prediction of behaviour
Wu J, Li J, Eickhoff S, Scheinost D, Genon S. The challenges and prospects of brain-based prediction of behaviour. Nature Human Behaviour 2023, 7: 1255-1264. PMID: 37524932, DOI: 10.1038/s41562-023-01670-1.Peer-Reviewed Original ResearchConceptsInterindividual differencesIndividual brain patternsNeural correlatesBehavioral measuresBrain patternsSystems neuroscienceConceptual limitationsLarge open datasetData-driven fashionNeuroscienceBrain levelsComputational resourcesOpen datasetsPredictive modelling approachCorrelatesMindBehaviorMeasuresPredictive modellingModelling approachDifferencesPotential solutions
2022
Associations between grip strength, brain structure, and mental health in > 40,000 participants from the UK Biobank
Jiang R, Westwater ML, Noble S, Rosenblatt M, Dai W, Qi S, Sui J, Calhoun VD, Scheinost D. Associations between grip strength, brain structure, and mental health in > 40,000 participants from the UK Biobank. BMC Medicine 2022, 20: 286. PMID: 36076200, PMCID: PMC9461129, DOI: 10.1186/s12916-022-02490-2.Peer-Reviewed Original ResearchConceptsGray matter volumeMental healthBrain structuresCognitive declineMatter volumeMental health outcomesHigher life satisfactionBetter mental healthBaseline grip strengthNeural correlatesCognitive functioningCognitive performanceBaseline neuroticismAnxiety symptomsBehavioral outcomesLife satisfactionMediation analysisNeuroimaging datasetsTemporal cortexOlder adultsLinear mixed effects modelsSubcortical regionsFinancial satisfactionLongitudinal dataGrip strengthA Neuroimaging Signature of Cognitive Aging from Whole‐Brain Functional Connectivity
Jiang R, Scheinost D, Zuo N, Wu J, Qi S, Liang Q, Zhi D, Luo N, Chung Y, Liu S, Xu Y, Sui J, Calhoun V. A Neuroimaging Signature of Cognitive Aging from Whole‐Brain Functional Connectivity. Advanced Science 2022, 9: 2201621. PMID: 35811304, PMCID: PMC9403648, DOI: 10.1002/advs.202201621.Peer-Reviewed Original ResearchConceptsCognitive declineNormal agingFunctional connectivitySimilar neural correlatesWhole-brain functional connectivityDorsal attention networkBrain network organizationNeural dedifferentiationFluid intelligenceCognitive agingCognitive abilitiesNeural correlatesAttention networkCognitive functionNetwork organizationHuman ageNeuroimaging signaturesCognitionUnique patternAgingConnectivityIntelligenceCorrelatesConstructsHealthy cohortFunctional Connectivity of the Chemosenses: A Review
Farruggia MC, Pellegrino R, Scheinost D. Functional Connectivity of the Chemosenses: A Review. Frontiers In Systems Neuroscience 2022, 16: 865929. PMID: 35813269, PMCID: PMC9257046, DOI: 10.3389/fnsys.2022.865929.Peer-Reviewed Original ResearchFunctional connectivityConnectivity approachBrain-behavior relationshipsDynamic causal modelingFunctional connectivity approachSeed-based functional connectivityEffective connectivity approachStructural equation modelingTask-based paradigmsCognitive neuroscienceNeural correlatesPsychophysiological interactionStimulus qualityCausal modelingEquation modelingOlfactory paradigmBrain regionsChemosensory perceptionRelative dearthPathways of communication
2017
Multi-modal analysis of functional connectivity and cerebral blood flow reveals shared and unique effects of propofol in large-scale brain networks
Qiu M, Scheinost D, Ramani R, Constable RT. Multi-modal analysis of functional connectivity and cerebral blood flow reveals shared and unique effects of propofol in large-scale brain networks. NeuroImage 2017, 148: 130-140. PMID: 28069540, PMCID: PMC5410383, DOI: 10.1016/j.neuroimage.2016.12.080.Peer-Reviewed Original ResearchConceptsCerebral blood flowIntrinsic connectivity distributionLarge-scale brain networksFunctional connectivityReduced consciousnessBlood flowBrain networksSedation conditionsWhole-brain connectivityAltered connectivityMotor networkCBF dataRs-fMRIPharmacological alterationsConnectivity differencesPropofolMultiple large-scale brain networksUnique neural correlatesBlow flowFrontoparietal networkAnesthesiaKey markersDefault modeNeural correlatesSame subjects
2016
Neural Correlates of Success and Failure Signals During Neurofeedback Learning
Radua J, Stoica T, Scheinost D, Pittenger C, Hampson M. Neural Correlates of Success and Failure Signals During Neurofeedback Learning. Neuroscience 2016, 378: 11-21. PMID: 27063101, PMCID: PMC5537049, DOI: 10.1016/j.neuroscience.2016.04.003.Peer-Reviewed Original ResearchConceptsNeurofeedback signalFeedback learningMedial prefrontal/anterior cingulate cortexFeedback-driven learningPrecuneus/posterior cingulateClear adaptive valueDefault mode networkLevel-dependent responsesAnterior cingulate cortexOperant conditioning paradigmReduction of anxietyNeurofeedback learningNeural correlatesSignals of failureNeural processesNeurofeedback interventionConditioning paradigmNeurofeedback experimentsMode networkOrbitofrontal cortexCingulate cortexPosterior cingulateFunctional runsAbstract representationLearning